Artificial intelligence technologies will be the most disruptive class of technologies over the next 10 years due to radical computational power, near-endless amounts of data, and unprecedented advances in deep neural networks; these will enable organizations with AI technologies to harness data in order to adapt to new situations and solve problems that no one has ever encountered previously.

Technology will continue to become more human-centric to the point where it will introduce transparency between people, businesses and things. This relationship will become much more entwined as the evolution of technology becomes more adaptive, contextual and fluid within the workplace, at home, and in interacting with businesses and other people.

Emerging technologies require revolutionizing the enabling foundations that provide the volume of data needed, advanced compute power, and ubiquity-enabling ecosystems. The shift from compartmentalized technical infrastructure to ecosystem-enabling platforms is laying the foundations for entirely new business models that are forming the bridge between humans and technology.

"When we view these themes together, we can see how the human-centric enabling technologies within transparently immersive experiences — such as smart workspace, connected home, augmented reality, virtual reality and the growing brain-computer interface — are becoming the edge technologies that are pulling the other trends along the Hype Cycle," said Mr. Walker.

"AI Everywhere" emerging technologies are moving rapidly through the Hype Cycle. Technologies such as deep learning, autonomous learning and cognitive computing are just crossing the peak, which shows that they are key enablers of technologies that create transparent and immersive experiences.

Finally, digital platforms are rapidly moving up the Hype Cycle, illustrating the new IT realities that are possible by providing the underlining platforms that will fuel the future. Technologies such as Quantum Computing (climbing the Innovation Trigger) and Blockchain (having passed the peak) are poised to create the most transformative and dramatic impacts in the next five to 10 years.

Over the past few months, I have been collecting AI cheat sheets. From time to time I share them with friends and colleagues and recently I have been getting asked a lot, so I decided to organize and share the entire collection. To make things more interesting and give context, I added descriptions and/or excerpts for each major topic.This is the most complete list and the Big-O is at the very end, enjoy…

Organizations looking to implement a data lake project should start exploring its potential business benefits and not wait for the technology to be perfect, according to Sumit Sarkar, chief data evangelist at Progress Software Corp. Sarkar spoke with SearchCIO at the recent Cloud Expo in New York, where he highlighted the benefits that his company has achieved from building a marketing data lake. He also shed light on how creating a marketing data lake has helped Progress gain better customer insight and offered best practices for data lake implementation.

In this SearchCIO video, Sumit Sarkar, chief data evangelist at software company Progress, discusses the benefits of implementing a marketing data lake.

A key component of having a great Internet TV service is the streaming quality of experience (QoE). Our goal is to ensure that you can sit back and enjoy your favorite movie or show on Netflix with a picture quality that delights you and a seamless experience without interruptions or errors. While streaming video over the Internet is in itself no small feat, doing it well at scale is challenging (Netflix accounts for more than a third of Internet traffic at peak in North America). It gets even more complex when we’re serving members around the world with not only varying tastes, network infrastructure, and devices, but also different expectations on how they’d like to consume content over the Internet.How do we ensure that the Netflix streaming experience is as enjoyable in São Paulo, Mumbai, and Bangkok as it is in San Francisco, London, or Paris? The engineers and scientists at Netflix continuously innovate to ensure that we can provide the best QoE possible. To enable this, Netflix has a culture of experimentation and data-driven decision making that allows new ideas to be tested in production so we get data and feedback from our members. In this post, I’ll focus on the experimentation that we do at Netflix to improve QoE, including the types of experiments we run, the key role that data science plays, and also how the Netflix culture enables us to innovate via continuous experimentation. The post will not delve into the statistics behind experimentation but I will outline some of the statistical challenges we’re working on in this space.We also use data to build Machine Learning and other statistical models to improve QoE; I will not focus on the modeling aspect here but refer to this blog post for an overview and this post highlights one of our modeling projects. It’s also worth noting that while the focus here is on QoE, we use experimentation broadly across Netflix to improve many aspects of the service, including user interface design, personalized recommendations, original content promotion, marketing, and even the selection of video artwork.

In the modern digital age methodologies for professional Big Data analytics represent a strategic necessity to make information resources available to professional journalists and media producers in a more effective and efficient way and enabling new forms of production like data-driven journalism.

The challenge lies in the ability of collecting, connecting and presenting heterogeneous content streams accessible through different sources, such as digital TV, the Internet, social networks and media archives, and published through different media modalities, such as audio, speech, text and video, in an organic and semantics-driven way.

Rai Active News is a portal for professional information services that addresses these challenges with a uniform and holistic approach.

At the core of the system there is a set of artificial intelligence techniques and advanced statistical tools to automate tasks such as information extraction and multimedia content analysis targeted at discovering semantic links between resources, providing users with text, graphics and video news organized according to their individual interests.

Under fire from several quarters for an array of accusations ranging from monopolistic practices to the dissemination (and even funding) of fake news, plus questionable measurement procedures, Google is hitting back with both defiant words, as well as financial handouts. The Drum sat down with Madhav Chinnappa, Google’s director of strategic relations, news & publishers, to discuss its two year-old Digital News Initiative.

Security concerns have shackled the use of customer data at banks. At Santander UK, however, restrictions are loosening after its marketing team proved that being adventurous with people’s data can deliver value.

To convince its board to let marketing take responsibility for creating value out of its banking data, Santander tested various data-led strategies for months with its agency Carat. Santander insists it’s not too far from being able to build strategies around an “audience of one,” effectively switching from trying to reach unknown audiences with rudimentary targeting to speaking directly to people it knows.

Santander’s confidence stems from what it saw during those tests, the first of which mixed a small portion of its CRM data with similar audience data from Facebook earlier this year to understand why customers weren’t downloading its mobile app and what would convince them to use it regularly. The results were “staggering”, the bank claimed, but it declined to share exact figures due to commercial reasons. However, Santander was able to apply those findings to parts of its search, social and programmatic activity, the top-line results of which it was able to share.

Ok, perhaps today is the day that Mark Zuckerberg finally abandons the pretence that Facebook isn't a media company.It was a year ago that, on a visit to Rome to see the Pope, he said "We are a tech company, not a media company".Then, in December, he appeared to soften his language, saying "It's not a traditional media company. You know, we build technology and we feel responsible for how it's used."In a blog post in December I argued that Zuckerberg's firm was indeed a media company, because it is funded by advertising, creates vast amounts of stories (or content), and is the main source of news for millions - if not billions - around the world.Today, with the launch of Facebook Watch, a video service that will incentivise the creation of a new industry in original programming, the tech giant is moving into broadcasting in a big way.

Broadcasters have become the latest media companies in Germany to challenge the market dominance of tech giants Google, Facebook and Amazon.

Two of the country’s biggest broadcasters, RTL Group and ProSiebenSat.1 Media SE, have formed an alliance with an ISP called United Internet to create a unified registration and login service for consumers. The point is to make it easier for people to control what data media and advertising businesses have from them — the rules around which will be much stricter after new European data privacy laws (General Data Protection Regulation) kick in next May. Berlin-based fashion e-commerce giant Zalando has also signed up to join the service.

The founding partners reach a combined 45 million monthly unique users, according to Germany’s online federation of marketers AGOF. Their registered users will be able to create a single ID and use the same details to log in across all four aforementioned sites (and any other company that signs up to be part of the synchronized login), and they can manage all their own settings via a unified data privacy center. That means every time a person visits a site across any of the media company’s online portfolios, they’ll be able to login with the same details or stay logged in.

In this special guest feature, Dr. Ricardo Baeza-Yates, CTO at NTENT, discusses how it’s not enough to weigh data decisions on the descriptor of big versus small alone - a number of other things must be considered.

Are digital and traditional pay TV providers ready to offer a service that can automatically provide viewers with programming based on their preferences and previous selections? ZoneTV is betting that they are: The start-up hopes to raise its profile and prospects today as it unveils

Television continues to evolve from pure consumptive linear viewing to web-like interactive experiences. Emerging new applications, such as multi-screen discovery, consumption, and network DVR, all allow and support user interaction.

This is possible due to the evolution of TV application architectures from dedicated hardware-centric functionality to a combination of hardware appliances controlled by modular software services.

Big Data technologies can support these rich, interactive TV experiences by collecting, storing, and analysing federated events and creating usable information for end-consumers, operators, and programmers.

Facebook's plan to let publishers sell subscriptions on its platform is renewing some of its media partners' optimism about their future together.Campbell Brown, head of news partnerships at Facebook, confirmed at an industry event this week that the social network will let publishers set up paywalls on the content they publish using Instant Articles, which let Facebook users read without actually visiting publishers' sites.

Fortunately, today’s content distributors can take advantage of the scalability, cost effectiveness, and pay-as-you go model of the cloud to address these challenges.

In this paper, we show content distributors how to use cloud technologies to build predictive analytic solutions.

We examine architectural patterns for optimizing media delivery, and we discuss how to assess the overall consumer experience based on representative data sources.

Finally, we present concrete implementations of cloud-based machine learning services and show how to use the services to profile audience demand, to cue content recommendations, and to prioritize the delivery of related media.

Object-Based Audio (OBA) is the next exciting breakthrough in television production.

It will provide personalization and an enhanced listening experience as revolutionary as sound was to motion pictures.

The age of personalization has arrived and TV consumers can view any program, at any time and on virtually any media device.

The next generation of audio encoders will have the capabilities to create OBA in television production and post-production.

The beneficial features of OBA include audio personalization for language selection, dialogue enhancements and options for the hearing impaired.

OBA provides the viewer with the ability to customize their viewing for any type of program in any viewing setting.

The future audio codec technologies will enable audio production mixers, producers and broadcasters to produce customized audio for the viewer.

This process begins at the original mix location and continues through the broadcast chain to delivery on any consumer device.

These encoders will have the capability to emit surround sound and immersive sound with over 100 channels with objects either separately or in combination with each other.

Scene based audio will also be a feature of the next generation codecs enabling the mixer to represent the sound image instead of channels.

This paper will describe the evolution from current channel based TV production to the next generation of multi-featured audio encoders with OBA and the potential benefits they will offer to all types of TV viewers.

Sharing your scoops to your social media accounts is a must to distribute your curated content. Not only will it drive traffic and leads through your content, but it will help show your expertise with your followers.

Integrating your curated content to your website or blog will allow you to increase your website visitors’ engagement, boost SEO and acquire new visitors. By redirecting your social media traffic to your website, Scoop.it will also help you generate more qualified traffic and leads from your curation work.

Distributing your curated content through a newsletter is a great way to nurture and engage your email subscribers will developing your traffic and visibility.
Creating engaging newsletters with your curated content is really easy.